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Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
v1v2v3 (latest)

Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles

5 December 2016
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
    UQCVBDL
ArXiv (abs)PDFHTML

Papers citing "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles"

50 / 3,224 papers shown
Title
VIBUS: Data-efficient 3D Scene Parsing with VIewpoint Bottleneck and
  Uncertainty-Spectrum Modeling
VIBUS: Data-efficient 3D Scene Parsing with VIewpoint Bottleneck and Uncertainty-Spectrum Modeling
Beiwen Tian
Liyi Luo
Hao Zhao
Guyue Zhou
97
25
0
20 Oct 2022
On Feature Learning in the Presence of Spurious Correlations
On Feature Learning in the Presence of Spurious Correlations
Pavel Izmailov
Polina Kirichenko
Nate Gruver
A. Wilson
129
129
0
20 Oct 2022
Deep conditional transformation models for survival analysis
Deep conditional transformation models for survival analysis
Gabriele Campanella
Lucas Kook
I. Häggström
Torsten Hothorn
Thomas J. Fuchs
50
2
0
20 Oct 2022
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the
  Impact of Method & Data Scarcity
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity
Dennis Ulmer
J. Frellsen
Christian Hardmeier
267
24
0
20 Oct 2022
Active Learning for Imbalanced Civil Infrastructure Data
Active Learning for Imbalanced Civil Infrastructure Data
Thomas Frick
Diego Antognini
Mattia Rigotti
I. Giurgiu
Benjamin Grewe
Cristiano Malossi
AI4CE
54
3
0
19 Oct 2022
Machine Learning for a Sustainable Energy Future
Machine Learning for a Sustainable Energy Future
Zhenpeng Yao
Yanwei Lum
Andrew K. Johnston
L. M. Mejia-Mendoza
Xiaoxia Zhou
Yonggang Wen
Alán Aspuru-Guzik
E. Sargent
Z. Seh
94
237
0
19 Oct 2022
Uncertainty in Extreme Multi-label Classification
Uncertainty in Extreme Multi-label Classification
Jyun-Yu Jiang
Wei-Cheng Chang
Jiong Zhong
Cho-Jui Hsieh
Hsiang-Fu Yu
UQCV
87
0
0
18 Oct 2022
Vision Paper: Causal Inference for Interpretable and Robust Machine
  Learning in Mobility Analysis
Vision Paper: Causal Inference for Interpretable and Robust Machine Learning in Mobility Analysis
Yanan Xin
Natasa Tagasovska
Fernando Perez-Cruz
Martin Raubal
66
10
0
18 Oct 2022
Uncertainty estimation for out-of-distribution detection in
  computational histopathology
Uncertainty estimation for out-of-distribution detection in computational histopathology
Lea Goetz
OOD
74
0
0
18 Oct 2022
Disentangling the Predictive Variance of Deep Ensembles through the
  Neural Tangent Kernel
Disentangling the Predictive Variance of Deep Ensembles through the Neural Tangent Kernel
Seijin Kobayashi
Pau Vilimelis Aceituno
J. Oswald
UQCV
92
3
0
18 Oct 2022
Generative models uncertainty estimation
Generative models uncertainty estimation
Lucio Anderlini
Constantine Chimpoesh
N. Kazeev
Agata Shishigina
30
4
0
18 Oct 2022
Pareto Manifold Learning: Tackling multiple tasks via ensembles of
  single-task models
Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models
Nikolaos Dimitriadis
P. Frossard
Franccois Fleuret
101
25
0
18 Oct 2022
Virtual Reality via Object Pose Estimation and Active Learning:
  Realizing Telepresence Robots with Aerial Manipulation Capabilities
Virtual Reality via Object Pose Estimation and Active Learning: Realizing Telepresence Robots with Aerial Manipulation Capabilities
Jongseok Lee
R. Balachandran
K. Kondak
Andre Coelho
M. Stefano
Matthias Humt
Jianxiang Feng
Tamim Asfour
Rudolph Triebel
92
8
0
18 Oct 2022
Bag of Tricks for Developing Diabetic Retinopathy Analysis Framework to
  Overcome Data Scarcity
Bag of Tricks for Developing Diabetic Retinopathy Analysis Framework to Overcome Data Scarcity
Gitaek Kwon
Eunjin Kim
Sunho Kim
S. Bak
Minsung Kim
Jaeyoung Kim
26
3
0
18 Oct 2022
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization
Qishi Dong
Muhammad Awais
Fengwei Zhou
Chuanlong Xie
Tianyang Hu
Yongxin Yang
Sung-Ho Bae
Zhenguo Li
OODDVLM
115
14
0
17 Oct 2022
Packed-Ensembles for Efficient Uncertainty Estimation
Packed-Ensembles for Efficient Uncertainty Estimation
Olivier Laurent
Adrien Lafage
Enzo Tartaglione
Geoffrey Daniel
Jean-Marc Martinez
Andrei Bursuc
Gianni Franchi
OODD
145
32
0
17 Oct 2022
Model-based Safe Deep Reinforcement Learning via a Constrained Proximal
  Policy Optimization Algorithm
Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm
Ashish Kumar Jayant
S. Bhatnagar
OffRL
66
39
0
14 Oct 2022
Finding Islands of Predictability in Action Forecasting
Finding Islands of Predictability in Action Forecasting
D. Scarafoni
Irfan Essa
Thomas Ploetz
AI4TS
48
1
0
13 Oct 2022
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection
Jingkang Yang
Pengyun Wang
Dejian Zou
Zitang Zhou
Kun Ding
...
Kaiyang Zhou
Wayne Zhang
Dan Hendrycks
Yixuan Li
Ziwei Liu
OODD
93
245
0
13 Oct 2022
Sample-Then-Optimize Batch Neural Thompson Sampling
Sample-Then-Optimize Batch Neural Thompson Sampling
Zhongxiang Dai
Yao Shu
Bryan Kian Hsiang Low
Patrick Jaillet
AAML
72
25
0
13 Oct 2022
On the calibration of underrepresented classes in LiDAR-based semantic
  segmentation
On the calibration of underrepresented classes in LiDAR-based semantic segmentation
M. Dreissig
Florian Piewak
Joschka Boedecker
42
1
0
13 Oct 2022
Large-Scale Open-Set Classification Protocols for ImageNet
Large-Scale Open-Set Classification Protocols for ImageNet
Jesus Andres Palechor Anacona
Annesha Bhoumik
Manuel Günther
53
8
0
13 Oct 2022
Improving the Reliability for Confidence Estimation
Improving the Reliability for Confidence Estimation
Haoxuan Qu
Yanchao Li
Lin Geng Foo
Jason Kuen
Jiuxiang Gu
Jun Liu
UQCV
66
10
0
13 Oct 2022
Model-Based Offline Reinforcement Learning with Pessimism-Modulated
  Dynamics Belief
Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief
Kaiyang Guo
Yunfeng Shao
Yanhui Geng
OffRL
79
26
0
13 Oct 2022
Microscopy is All You Need
Microscopy is All You Need
Sergei V. Kalinin
Rama K Vasudevan
Yongtao Liu
Ayana Ghosh
Kevin M. Roccapriore
M. Ziatdinov
78
0
0
12 Oct 2022
Semi-Supervised Offline Reinforcement Learning with Action-Free
  Trajectories
Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories
Qinqing Zheng
Mikael Henaff
Brandon Amos
Aditya Grover
OffRL
95
22
0
12 Oct 2022
Deep Combinatorial Aggregation
Deep Combinatorial Aggregation
Yuesong Shen
Zorah Lähner
OODUQCV
52
4
0
12 Oct 2022
What Makes Graph Neural Networks Miscalibrated?
What Makes Graph Neural Networks Miscalibrated?
Hans Hao-Hsun Hsu
Yuesong Shen
Christian Tomani
Zorah Lähner
97
41
0
12 Oct 2022
Efficient Bayesian Updates for Deep Learning via Laplace Approximations
Efficient Bayesian Updates for Deep Learning via Laplace Approximations
Denis Huseljic
M. Herde
Lukas Rauch
Paul Hahn
Zhixin Huang
D. Kottke
S. Vogt
Bernhard Sick
BDL
69
0
0
12 Oct 2022
JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional
  Networks
JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks
Jian Kang
Qinghai Zhou
Hanghang Tong
UQCV
94
22
0
12 Oct 2022
Robust Models are less Over-Confident
Robust Models are less Over-Confident
Julia Grabinski
Paul Gavrikov
J. Keuper
Margret Keuper
AAML
80
25
0
12 Oct 2022
Deep Active Ensemble Sampling For Image Classification
Deep Active Ensemble Sampling For Image Classification
S. Mohamadi
Gianfranco Doretto
Donald Adjeroh
UQCV
75
9
0
11 Oct 2022
Sampling-based inference for large linear models, with application to
  linearised Laplace
Sampling-based inference for large linear models, with application to linearised Laplace
Javier Antorán
Shreyas Padhy
Riccardo Barbano
Eric T. Nalisnick
David Janz
José Miguel Hernández-Lobato
BDL
53
17
0
10 Oct 2022
Extracting or Guessing? Improving Faithfulness of Event Temporal
  Relation Extraction
Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction
Haoyu Wang
Hongming Zhang
Yuqian Deng
Jacob R. Gardner
Dan Roth
Muhao Chen
68
21
0
10 Oct 2022
On the Importance of Calibration in Semi-supervised Learning
On the Importance of Calibration in Semi-supervised Learning
Charlotte Loh
Rumen Dangovski
Shivchander Sudalairaj
Seung-Jun Han
Ligong Han
Leonid Karlinsky
Marin Soljacic
Akash Srivastava
59
6
0
10 Oct 2022
Uncertainty Quantification with Pre-trained Language Models: A
  Large-Scale Empirical Analysis
Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis
Yuxin Xiao
Paul Pu Liang
Umang Bhatt
Willie Neiswanger
Ruslan Salakhutdinov
Louis-Philippe Morency
258
99
0
10 Oct 2022
Investigating the Failure Modes of the AUC metric and Exploring
  Alternatives for Evaluating Systems in Safety Critical Applications
Investigating the Failure Modes of the AUC metric and Exploring Alternatives for Evaluating Systems in Safety Critical Applications
Swaroop Mishra
Anjana Arunkumar
Chitta Baral
63
0
0
10 Oct 2022
Dual-distribution discrepancy with self-supervised refinement for
  anomaly detection in medical images
Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images
Yu Cai
Hao Chen
Xin Yang
Yu Zhou
Kwang-Ting Cheng
133
51
0
09 Oct 2022
Sequential Ensembling for Semantic Segmentation
Sequential Ensembling for Semantic Segmentation
Rawal Khirodkar
Brandon A. Smith
Siddhartha Chandra
Amit Agrawal
A. Criminisi
69
2
0
08 Oct 2022
Unified Probabilistic Neural Architecture and Weight Ensembling Improves
  Model Robustness
Unified Probabilistic Neural Architecture and Weight Ensembling Improves Model Robustness
Sumegha Premchandar
Sandeep Madireddy
Sanket Jantre
Prasanna Balaprakash
OODUQCV
62
3
0
08 Oct 2022
How to Enable Uncertainty Estimation in Proximal Policy Optimization
How to Enable Uncertainty Estimation in Proximal Policy Optimization
Eugene Bykovets
Yannick Metz
Mennatallah El-Assady
Daniel A. Keim
J. M. Buhmann
UQCV
88
1
0
07 Oct 2022
Ambiguous Images With Human Judgments for Robust Visual Event
  Classification
Ambiguous Images With Human Judgments for Robust Visual Event Classification
Kate Sanders
Reno Kriz
Anqi Liu
Benjamin Van Durme
96
12
0
06 Oct 2022
To Softmax, or not to Softmax: that is the question when applying Active
  Learning for Transformer Models
To Softmax, or not to Softmax: that is the question when applying Active Learning for Transformer Models
Julius Gonsior
C. Falkenberg
Silvio Magino
Anja Reusch
Maik Thiele
Wolfgang Lehner
UQCV
81
7
0
06 Oct 2022
Uncertainty Estimation for Multi-view Data: The Power of Seeing the
  Whole Picture
Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture
M. Jung
He Zhao
Joanna Dipnall
Lan Du
Lan Du
UQCVEDL
96
12
0
06 Oct 2022
Query The Agent: Improving sample efficiency through epistemic
  uncertainty estimation
Query The Agent: Improving sample efficiency through epistemic uncertainty estimation
Julian Alverio
Boris Katz
Andrei Barbu
77
1
0
05 Oct 2022
Two Video Data Sets for Tracking and Retrieval of Out of Distribution
  Objects
Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects
Kira Maag
Robin Shing Moon Chan
Svenja Uhlemeyer
K. Kowol
Hanno Gottschalk
104
19
0
05 Oct 2022
Trustworthy clinical AI solutions: a unified review of uncertainty
  quantification in deep learning models for medical image analysis
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis
Benjamin Lambert
Florence Forbes
A. Tucholka
Senan Doyle
Harmonie Dehaene
M. Dojat
112
90
0
05 Oct 2022
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models
Chen Liang
Wenguan Wang
Jiaxu Miao
Yi Yang
VLM
106
123
0
05 Oct 2022
Meta-Ensemble Parameter Learning
Meta-Ensemble Parameter Learning
Zhengcong Fei
Shuman Tian
Junshi Huang
Xiaoming Wei
Xiaolin K. Wei
OOD
114
2
0
05 Oct 2022
The Calibration Generalization Gap
The Calibration Generalization Gap
Annabelle Carrell
Neil Rohit Mallinar
James Lucas
Preetum Nakkiran
UQCV
92
18
0
05 Oct 2022
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